Legal claims defining the scope of protection. Each claim is shown in both the original legal language and a plain English translation.
1. A computer-implemented method executed on a processor for enabling instant and automatic photo sharing between computing devices, the computer-implemented method comprising: allowing a first user to operate a sender to create a plurality of images, the plurality of images including physical characteristics of a second user; transmitting a broadcast message to a plurality of receivers; determining whether a match occurs between the sender and one or more of the plurality of receivers; establishing a local area network between the sender and matched receivers; automatically and instantly transmitting the plurality of images to the matched receivers by calculating priority from the matched receivers and by calculating sequence determinations for the matched receivers resulting from the calculated priority; and upon completion of the transmittal of the plurality of images to the matched receivers, terminating the local area network.
This invention relates to a system for enabling instant and automatic photo sharing between computing devices over a local area network. The problem addressed is the need for seamless, real-time image sharing between users without manual intervention or delays. The method involves a sender device, operated by a first user, capturing multiple images that include physical characteristics of a second user. The sender transmits a broadcast message to nearby receivers, which are devices within proximity. The system determines if a match exists between the sender and one or more receivers based on predefined criteria, such as proximity or user preferences. Once a match is confirmed, a local area network is established between the sender and the matched receivers. The images are then automatically and instantly transmitted to the matched receivers. The transmission process involves calculating priority among the receivers and determining the sequence in which images are sent based on this priority. After all images are transmitted, the local area network is terminated. This approach ensures efficient, secure, and immediate sharing of photos between devices without requiring user input during the transfer process.
2. The method of claim 1 , wherein the match is determined based on mobile number identification information.
A system and method for identifying and matching mobile devices using mobile number identification information. The technology addresses the challenge of accurately identifying and verifying mobile devices in communication networks, particularly in scenarios where device identification is required for authentication, fraud prevention, or service provisioning. The method involves analyzing mobile number identification information, such as the Mobile Subscriber Integrated Services Digital Network Number (MSISDN) or other unique identifiers associated with a mobile device, to determine a match between devices. This process may include comparing stored mobile number data with incoming identification signals to verify device authenticity or establish a connection. The system may also integrate with network infrastructure to retrieve and process mobile number data in real-time, ensuring accurate and up-to-date identification. By leveraging mobile number identification, the method enhances security and reliability in mobile communications, reducing the risk of unauthorized access or fraudulent activity. The approach is particularly useful in telecommunication networks, financial transactions, and digital authentication systems where precise device identification is critical.
3. The method of claim 1 , wherein the match is determined based on facial feature information.
A system and method for identifying individuals using facial recognition technology addresses the challenge of accurately matching faces in varying conditions. The method involves capturing an image of a person's face using a camera or imaging device. The system then extracts facial feature information from the captured image, including key landmarks such as the eyes, nose, and mouth. This extracted data is compared against a database of stored facial feature profiles to determine a match. The comparison process may involve analyzing geometric relationships between facial features, texture patterns, or other distinguishing characteristics. The system may also account for variations in lighting, angle, or expression to improve accuracy. If a match is found, the system may trigger an action, such as granting access, logging an entry, or retrieving associated data. The method ensures reliable identification by focusing on precise facial feature analysis, reducing false positives and enhancing security in applications like surveillance, authentication, or biometric verification.
4. The method of claim 3 , wherein the facial feature information is encrypted.
5. The method of claim 1 , wherein the priority and sequence determinations are based on at least response time, data size, and transmission data rates.
6. The method of claim 1 , wherein, once the matched receivers are determined, the plurality of images created by the sender are automatically sorted and organized before being transmitted to the matched receivers.
This invention relates to a system for automatically sorting and organizing images before transmission to specific recipients. The technology addresses the challenge of efficiently managing and distributing multiple images to different users based on predefined criteria, ensuring that recipients receive only the relevant images in an organized manner. The method involves determining matched receivers for a set of images created by a sender. Once these receivers are identified, the images are automatically sorted and organized according to predefined rules or criteria before being transmitted. The sorting and organization process may involve categorizing images by content, metadata, or user preferences to ensure that each recipient receives a tailored set of images. This automation reduces manual effort and improves efficiency in image distribution. The system may also include additional steps such as analyzing image content, extracting metadata, or applying user-defined filters to refine the sorting process. The organized images are then transmitted to the matched receivers, ensuring that each recipient receives only the relevant images in a structured format. This approach enhances user experience by providing a streamlined and personalized image distribution process.
7. The method of claim 6 , wherein, after the matched receivers receive their corresponding images from the plurality of images, the corresponding images are further sorted and automatically stored in one or more predetermined locations within their respective matched receivers.
8. A non-transitory computer-readable storage medium comprising a computer-readable program executed on a processor in a data processing system for enabling instant and automatic photo sharing between computing devices, wherein the computer-readable program when executed on the processor causes a computer to perform the steps of: allowing a first user to operate a sender to create a plurality of images, the plurality of images including physical characteristics of a second user; transmitting a broadcast message to a plurality of receivers; determining whether a match occurs between the sender and one or more of the plurality of receivers; establishing a local area network between the sender and matched receivers; automatically and instantly transmitting the plurality of images to the matched receivers by calculating priority from the matched receivers and by calculating sequence determinations for the matched receivers resulting from the calculated priority; and upon completion of the transmittal of the plurality of images to the matched receivers, terminating the local area network.
9. The non-transitory computer-readable storage medium of claim 8 , wherein the match is determined based on mobile number identification information.
10. The non-transitory computer-readable storage medium of claim 8 , wherein the match is determined based on facial feature information.
11. The non-transitory computer-readable storage medium of claim 10 , wherein the facial feature information is encrypted.
12. The non-transitory computer-readable storage medium of claim 8 , wherein the priority and sequence determinations are based on at least response time, data size, and transmission data rates.
13. The non-transitory computer-readable storage medium of claim 8 , wherein, once the matched receivers are determined, the plurality of images created by the sender are automatically sorted and organized before being transmitted to the matched receivers.
14. The non-transitory computer-readable storage medium of claim 13 , wherein, after the matched receivers receive their corresponding images from the plurality of images, the corresponding images are further sorted and automatically stored in one or more predetermined locations within their respective matched receivers.
15. A system for enabling instant and automatic photo sharing between computing devices, the system comprising: a sender operated by a first user to create a plurality of images, the plurality of images including physical characteristics of a second user; a plurality of receivers to receive a broadcast message transmitted from the sender, wherein each of the plurality of receivers determines whether a match occurs between the sender and one or more of the plurality of receivers; and a local area network established between the sender and matched receivers; wherein the plurality of images are automatically and instantly transmitted to the matched receivers by calculating priority from the matched receivers and by calculating sequence determinations for the matched receivers resulting from the calculated priority, and, upon completion of the transmittal of the plurality of images to the matched receivers, the local area network is terminated.
16. The system of claim 15 , wherein the match is determined based on mobile number identification information.
17. The system of claim 15 , wherein the match is determined based on facial feature information.
18. The system of claim 17 , wherein the facial feature information is encrypted.
19. The system of claim 15 , wherein the priority and sequence determinations are based on at least response time, data size, and transmission data rates.
A system for managing data transmission prioritization and sequencing in networked environments addresses inefficiencies in data handling, particularly in scenarios where multiple data streams compete for limited bandwidth. The system dynamically assigns priority and sequence to data transmissions based on key performance metrics, including response time, data size, and transmission data rates. By evaluating these factors, the system optimizes the order and timing of data transfers to minimize latency, reduce congestion, and improve overall network efficiency. The priority and sequence determinations ensure that critical or time-sensitive data is processed first, while larger or lower-priority data is scheduled accordingly. This approach enhances real-time performance and reliability in applications such as cloud computing, IoT networks, and telecommunication systems. The system may also incorporate additional criteria, such as network conditions or user-defined rules, to further refine transmission management. The dynamic prioritization mechanism adapts to varying network loads and data characteristics, ensuring consistent performance across diverse operational conditions.
20. The system of claim 15 , wherein, once the matched receivers are determined, the plurality of images created by the sender are automatically sorted and organized before being transmitted to the matched receivers.
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March 23, 2021
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